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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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or stealthy DDoS attacks is unexplored in the cloud-edge continuum. Where machine learning (ML) is deployed both for optimising performance (benign adaptation) and attack detection (DDoS), security researchers
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Machine learning Candidates are expected to have good knowledge in Artificial Intelligence and good programming skills in some of the following: Python, PyTorch library, OpenAI-Gym, Prolog, ProbLog, Answer
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and learning in higher education. The successful candidate should have a PhD in community ecology, functional ecology, or a closely related field. Previous experience is required in at least one of the
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of injuries to the upper extremity supported by machine learning and neural networks. The position is an initiative within the framework of the research initiative "Learning and brain plasticity throughout
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interdisciplinary research environment, where there is expertise in movement analysis, DBS treatment, physiotherapy, image analysis and machine learning. Eligibility requirements To be admitted to education at
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years, with a focus on creating an inclusive and bottom-up driven research environment. To further strengthen our numbers, we are now looking for a postdoctoral researcher in machine learning. Our
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initiates research in and about Sápmi, with a focus on Sámi and other Indigenous cultures, societies, histories and languages. It is a meeting place for researchers and PhD students from various disciplines
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. Your role in the project will be to develop and evaluate models and methods. You will work in an interdisciplinary environment with expertise in radiotherapy, image analysis and machine learning
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fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education. The successful candidate will have a PhD degree, or equivalent, in molecular biology or